package ds_industry_2025.ds.ds_02.T1

import org.apache.hudi.DataSourceWriteOptions._
import org.apache.hudi.QuickstartUtils.getQuickstartWriteConfigs
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._

import java.text.SimpleDateFormat
import java.util.{Calendar, Properties}

/*
  6、抽取shtd_store库中order_detail的增量数据进入Hudi的ods_ds_hudi库中表order_detail，根据ods_ds_hudi.order_detail表
  中create_time作为增量字段，只将新增的数据抽入，字段名称、类型不变，同时添加分区，分区字段为etl_date，类型为String，且值为当
  前比赛日的前一天日期（分区字段格式为yyyyMMdd）。id作为primaryKey，create_time作为preCombineField。使用spark-shell执
  行show partitions ods_ds_hudi.order_detail命令，将结果截图粘贴至客户端桌面【Release\任务B提交结果.docx】中对应的任务序
  号下。
 */
object t6 {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.builder()
      .master("local[*]")
      .appName("t1")
      .config("hive.exec.dynamic.partition.mode", "nonstrict")
      .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
      .config("spark.sql.extensions", "org.apache.spark.sql.hudi.HoodieSparkSessionExtension")
      .enableHiveSupport()
      .getOrCreate()

    val conn = new Properties()
    conn.setProperty("user", "root")
    conn.setProperty("password", "123456")
    conn.setProperty("driver", "com.mysql.jdbc.Driver")

    val day = Calendar.getInstance()
    val current_time = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(day.getTime)
    day.add(Calendar.DATE, -1)
    val yesterday = new SimpleDateFormat("yyyyMMdd").format(day.getTime)

    val hdfs_path = "hdfs://192.168.40.110:9000/user/hive/warehouse/ods_ds_hudi.db/order_detail"

    val max_time = spark.read.format("hudi").load(hdfs_path)
      .agg(max(col("create_time")))
      .collect()(0).get(0).toString

    spark.read.jdbc("jdbc:mysql://192.168.40.110:3306/shtd_store?useSSL=false", "order_info", conn)
      .where(
        col("create_time") > lit(max_time).cast("timestamp")
      )
      .withColumn("etl_date", lit(yesterday))
      .write.format("hudi").mode("append")
      .options(getQuickstartWriteConfigs)
      .option(RECORDKEY_FIELD.key(), "id")
      .option(PRECOMBINE_FIELD.key(), "create_time")
      .option(PARTITIONPATH_FIELD.key(), "etl_date")
      .option("hoodie.table.name", "order_detail")
      .save(hdfs_path)


    spark.close()
  }

}
